Over the past few weeks, Kaiser Fung has given us some valuable pointers on understanding the big data stats we are assaulted with on a daily basis. To sum up, learn the context behind the stats — sources and biases — and know that the algorithms that crunch numbers may not have the answer to your problems.
In this third segment of our podcast, Kaiser points out all the ways the stats can trick us through its inherently random nature — variability in stats-speak.
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